As a data engineer with experience in cloud platforms like AWS and GCP, I specialize in building and maintaining robust data pipelines and architectures. My expertise spans a wide range of tools and technologies, including Snowflake for data warehousing, Airflow and Mage for workflow orchestration, and Docker and Terraform for infrastructure automation. I am proficient in Spark/PySpark for big data processing, and I utilize Tableau for insightful data visualization. My skills also include SQL databases such as PostgreSQL and MySQL, as well as NoSQL databases like Cassandra and Elasticsearch. I have hands-on experience with dbt (data build tool), Linux, shell scripting, Hadoop, Kafka, FastAPI, and Python. Additionally, I possess a basic understanding of large language models (LLMs). My proficiency in ETL processes and data analysis enables me to transform raw data into valuable business insights. I am passionate about leveraging technology to drive data-driven decision-making and streamline operations.